About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 10 of 68 results knowledge clear
Exploring Creativity and Urban Development with Agent-Based Modeling
Ammar Malik Andrew Crooks Hilton Root Melanie Swartz | Published Thursday, October 30, 2014An agent-based model which explores Creativity and Urban Development
Firm explore-exploit of knowledge
Rosanna Garcia | Published Monday, March 28, 2011 | Last modified Saturday, April 27, 2013The basic premise of the model is to simulate several ‘agents’ going through build-buy cycles: Build: Factories follow simple rules of strategy in the allocation of resources between making exploration and exploitation type products. Buy: Each of two types of Consumers, early-adopters and late adopters, follow simple purchase decision rules in deciding to purchase a product from one of two randomly chosen factories. Thus, the two working ‘agents’ of the model are ‘factories’ and […]
LBD Model: Learning-by-doing for sustainable management of renewable resources
Emilie Lindkvist Örjan Ekeberg Jon Norberg | Published Thursday, March 09, 2017This is a simulation model of an intelligent agent that has the objective to learn sustainable management of a renewable resource, such as a fish stock.
Kulayinjana
Christophe Le Page Arthur Perrotton Michel De Garine-Wichatitsky Barry Bitu Killion Koyisi Ferdinand Mwamba Cephus Ncube Victor Ncube Siphusisiwe Ndlovu Raphael Ngwenya Ambu Nyathi Fumbane Nyathi Patrick Sibanda Zenzo Sibanda | Published Monday, October 03, 2016a computer-based role-playing game simulating the interactions between farming activities, livestock herding and wildlife in a virtual landscape reproducing local socioecological dynamics at the periphery of Hwange National Park (Zimbabwe).
Resource distribution effects on optimal foraging theory
Marco Janssen Kim Hill | Published Friday, January 27, 2017The original Ache model is used to explore different distributions of resources on the landscape and it’s effect on optimal strategies of the camps on hunting and camp movement.
01a ModEco V2.05 – Model Economies – In C++
Garvin Boyle | Published Monday, February 04, 2013 | Last modified Friday, April 14, 2017Perpetual Motion Machine - A simple economy that operates at both a biophysical and economic level, and is sustainable. The goal: to determine the necessary and sufficient conditions of sustainability, and the attendant necessary trade-offs.
The model implements a model that reflects features of a rural hill village in Nepal. Key features of the model include water storage, social capital and migration of household members who then send remittances back to the village.
Influence with over-confident agents
Juliette Rouchier Emily Tanimura | Published Wednesday, October 21, 2015Agents can influence each other if they are close enough in knowledge. The probability to convince with good knowledge and number of agents have an impact on the dissemination of knowledge.
MERCURY: an ABM of tableware trade in the Roman East
Tom Brughmans Jeroen Poblome | Published Thursday, September 25, 2014 | Last modified Friday, May 01, 2015MERCURY aims to represent and explore two descriptive models of the functioning of the Roman trade system that aim to explain the observed strong differences in the wideness of distributions of Roman tableware.
A stylized scale model to codesign with villagers an agent-based model of bushmeat hunting in the periphery of Korup National Park (Cameroon)
Displaying 10 of 68 results knowledge clear